Alternatives and similar repositories for datamodels:

Users that are interested in datamodels are comparing it to the libraries listed below

• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆95Updated last year
• google-research / jax-influence
  ☆60Updated 3 years ago
• MadryLab / rethinking-backdoor-attacks
  ☆16Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆46Updated 2 years ago
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆15Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• r-three / mats
  ☆28Updated 8 months ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆74Updated last year
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated last year
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆22Updated last year
• ejones313 / auditing-llms
  ☆53Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆44Updated 2 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• aks2203 / easy-to-hard-data
  Pytorch Datasets for Easy-To-Hard
  ☆27Updated 2 months ago
• MadryLab / BREEDS-Benchmarks
  ☆54Updated 4 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆40Updated 2 years ago
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆30Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• google-research / heldout-influence-estimation
  ☆62Updated 3 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆86Updated 9 months ago
• milesaturpin / cot-unfaithfulness
  ☆38Updated last year
• thestephencasper / latent_adversarial_training
  ☆21Updated 8 months ago
• locuslab / acr-memorization
  ☆30Updated 3 months ago
• mcleish7 / gemstone-scaling-laws
  ☆22Updated last month
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆30Updated 4 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆71Updated 10 months ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆48Updated 9 months ago
• snu-mllab / Neural-Relation-Graph
  Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
  ☆15Updated last year
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆15Updated last year